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09/21/2023
Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction
Wireless communications at high-frequency bands with large antenna array...
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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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08/25/2023
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
Glaucoma is the number one cause of irreversible blindness globally. A m...
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07/19/2023
Curvature-based Clustering on Graphs
Unsupervised node clustering (or community detection) is a classical gra...
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07/04/2023
Structural Balance and Random Walks on Complex Networks with Complex Weights
Complex numbers define the relationship between entities in many situati...
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06/29/2023
Multi-Scenario Ranking with Adaptive Feature Learning
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...
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06/17/2023
Large Language Models for Telecom: The Next Big Thing?
The evolution of generative artificial intelligence (GenAI) constitutes ...
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06/15/2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Fairness in machine learning is important for societal well-being, but l...
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04/06/2023
Opportunities and challenges of ChatGPT for design knowledge management
Recent advancements in Natural Language Processing have opened up new po...
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03/27/2023
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
Contrastive learning-based vision-language pre-training approaches, such...
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09/26/2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
State-of-the-art (SOTA) deep learning mammogram classifiers, trained wit...
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09/21/2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
When analysing screening mammograms, radiologists can naturally process ...
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09/13/2022
Just Noticeable Difference Modeling for Face Recognition System
High-quality face images are required to guarantee the stability and rel...
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09/02/2022
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images
Ophthalmic images and derivatives such as the retinal nerve fiber layer ...
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08/19/2022
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
Generalized text representations are the foundation of many natural lang...
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07/20/2022
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Despite the success of fully-supervised human skeleton sequence modeling...
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03/29/2022
Design of a Biomimetic Tactile Sensor for Material Classification
Tactile sensing typically involves active exploration of unknown surface...
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03/28/2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
3D medical image segmentation methods have been successful, but their de...
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03/03/2022
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification
Deep learning methods have shown outstanding classification accuracy in ...
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01/28/2022
Generalized Visual Quality Assessment of GAN-Generated Face Images
Recent years have witnessed the dramatically increased interest in face ...
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11/25/2021
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification
Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...
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11/25/2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Consistency learning using input image, feature, or network perturbation...
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10/17/2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
StyleGANs have shown impressive results on data generation and manipulat...
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09/29/2021
Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning
We investigate the problem of wireless beam tracking on mmWave bands wit...
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08/20/2021
Dual Projection Generative Adversarial Networks for Conditional Image Generation
Conditional Generative Adversarial Networks (cGANs) extend the standard ...
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05/26/2021
Networked Federated Multi-Task Learning
Many important application domains generate distributed collections of h...
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04/30/2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Image and video synthesis are closely related areas aiming at generating...
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03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
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03/05/2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
The training of deep learning models generally requires a large amount o...
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03/05/2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...
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01/25/2021
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors
Current unsupervised anomaly detection and localisation systems are comm...
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01/25/2021
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features
In this paper, we address the problem of weakly-supervised video anomaly...
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01/09/2021
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning
In this paper, we propose and analyse a system that can automatically de...
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10/24/2020
Stochastic Analysis of Cooperative Satellite-UAV Communications
In this paper, a dual-hop cooperative satellite-unmanned aerial vehicle ...
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06/26/2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Anomaly detection methods generally target the learning of a normal imag...
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06/10/2020
Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges
Deep learning (DL) has obtained great success in computer vision (CV) fi...
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03/18/2020
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Face anti-spoofing is the key to preventing security breaches in biometr...
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10/23/2019
Photoshopping Colonoscopy Video Frames
The automatic detection of frames containing polyps from a colonoscopy v...
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10/06/2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
Graph kernels are kernel methods measuring graph similarity and serve as...
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04/06/2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
In this paper, we study the problem of learning Graph Convolutional Netw...
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07/26/2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
We consider the problem of image-to-video translation, where an input im...
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06/28/2018